存在随机站址误差时的最大似然时差定位算法

Passive Maximum Likelihood Source Localization Using TDOA with Erroneous Receiver Positions

提出了一种存在随机站址误差时的时差定位算法,该算法将站址误差等效为距离差的测量误差,分析了该等效误差的统计特性,并给出了一种迭代最大似然估计算法。仿真结果表明,存在站址误差的条件下,算法逼近了克拉美罗界,明显优于其他时差定位算法。

A new algorithm of source localization using TDOA with random erroneous receiver positions is presented. It can change the position errors into the range difference errors and the statistic characteristics of the errors are discussed and an iterative localization method using maximum likelihood estimation is proposed. As shown by the simulation results, it wins the advantage over other algorithms in location accuracy with random erroneous receiver positions, and can reach the CRLB.